scholarly journals An enhanced water index in extracting water bodies from Landsat TM imagery

Annals of GIS ◽  
2017 ◽  
Vol 23 (3) ◽  
pp. 141-148 ◽  
Author(s):  
Jason Yang ◽  
Xianrong Du
Keyword(s):  
Landsat Tm ◽  
Water Bodies ◽  
Water Index ◽  
Landsat Tm Imagery

Capability assessment of two water indexes in remote sensing data in order to water bodies classification (case study: Gorganroud River - North east of Iran)

2020 ◽  
Author(s):  
edith eishoeei ◽  
Mirhassan Miryaghoubzadeh
Keyword(s):  
River Basin ◽  
Near Infrared ◽  
Landsat Tm ◽  
Water Bodies ◽  
Long Distance ◽  
Mid Infrared ◽  
Water Index ◽  
North East ◽  
Normalized Difference Water Index ◽  
East Of Iran

<p>Normalized Difference Water Index (NDWI) has been widely used to detect water bodies and enhance them in the satellite imagery. In order to determine water bodies in Landsat TM, Mid-Infrared and Green bands are used but this combination is often encountered with vegetation, soil and build-up land noises and the water bodies area was not calculated accurately and most of the time the results are higher than the actual area and was overestimated, NDWI does not remove soil and vegetation noises completely because of using the NIR band reflection, therefore, to eliminate these noises, Modified Normalized Difference Water Index (MNDWI) with different bands in Landsat TM such as Shortwave and Near-Infrared bands has been used and best image that shows water bodies more accurate has been provided. We need to test different band combination and also different NDWI and MNDWI indexes in the range of Red, Near-Infrared, Shortwave Infrared and Mid-Infrared to determine the best performing index. For this purpose, Gorganroud river basin was selected as study area, which is located in north-east of Iran and is one of the largest rivers in Iran and because of 2 dams located in the river basin and long distance of river, studying water bodies could be easier in comparing with other river basins of Iran. we compared NDWI and MNDWI indices and results shown that MNDWI index using Landsat TM bands Green and Mid-infrared has higher accuracy than NDWI and other calculated indices with different bands of Landsat TM. It can remove the vegetation, soil and build-up noises better than NDWI and water bodies can be shown clearly. The MNDWI is more suitable to extract water bodies and study the information of water regions with dominating the soil, vegetation and build-up land noises because of its advantage in reducing or even removing those noises over NDWI.</p><p><strong>Key words:</strong> Normalized Difference Water Index (NDWI), Modified Normalized Difference Water Index (MNDWI), Landsat 5, water bodies, Gorganroud river basin</p>

Detection of forest harvest type using multiple dates of Landsat TM imagery

2002 ◽  
Vol 80 (3) ◽  
pp. 385-396 ◽  
Author(s):  
Emily Hoffhine Wilson ◽  
Steven A Sader
Keyword(s):  
Landsat Tm ◽  
Forest Harvest ◽  
Landsat Tm Imagery

scholarly journals Recession of the southern part of Barnes Ice Cap, Baffin Island, Canada, between 1961 and 1993, determined from digital mapping of Landsat TM

1997 ◽  
Vol 43 (143) ◽  
pp. 98-102 ◽  
Author(s):  
John D. Jacobs ◽  
Élizabeth L. Simms ◽  
Alvin Simms
Keyword(s):  
Regional Climate ◽  
Landsat Tm ◽  
Early 20Th Century ◽  
Baffin Island ◽  
Digital Mapping ◽  
Ice Cap ◽  
Significant Difference ◽  
Southern Half ◽  
Landsat Tm Imagery ◽  
General Reduction

AbstractChanges along the margin of the southern half of the 5900 km2 Barnes Ice Cap have been assessed using 1993 Landsat TM imagery in comparison with digitized 1:50 000 NTS maps based on 1961 photogrammetry. The average recession over the 183 km long southern perimeter was found to be at least 4 m a−1, with no significant difference between the southeast and southwest sectors. Viewed in conjunction with the sustained retreat previously reported for the northwest margin, these results indicate that a general reduction in the size of Barnes Ice Cap is occurring. The present retreat phase began under a regional climate warming in the late 19th to early 20th century period and continues, while the record of the ablation-season temperature since the mid-century has not shown any significant trend.

scholarly journals Feasibility of Invasive Grass Detection in a Desertscrub Community Using Hyperspectral Field Measurements and Landsat TM Imagery

2011 ◽  
Vol 3 (10) ◽  
pp. 2283-2304 ◽  
Author(s):  
Aaryn D. Olsson ◽  
Willem J.D. van Leeuwen ◽  
Stuart E. Marsh
Keyword(s):  
Field Measurements ◽  
Landsat Tm ◽  
Invasive Grass ◽  
Landsat Tm Imagery

scholarly journals IDENTIFICATION OF INUNDATED AREA USING NORMALIZED DIFFERENCE WATER INDEX (NDWI) ON LOWLAND REGION OF JAVA ISLAND

2014 ◽  
Vol 10 (2) ◽  
Author(s):  
Suwarsono ◽  
Jalu Tejo Nugroho ◽  
Wiweka
Keyword(s):  
Emergency Response ◽  
Flood Disaster ◽  
Landsat Tm ◽  
Water Index ◽  
Normalized Difference Water Index

Flood disaster is a major issues due to its frequently events on several areas in Indonesia. Delineation of inundated area caused by flood is needed to support disaster emergency response. The objective of this research was to identify inundated areas using NDWI methos from Landsat TM/ETM+ data on lowland regions of Java island. A pair of the data (before and during the flood) were in each observation areas. Observation areas were selected in several location of lowland regions of Java island where great event of flood occurred during the last decades. The thresholds values of NDWI change were used to separate the flood and non flood areas. The results showed that the extent of inundated area caused by flood on lowland regions can be identifyed and separated based on NDWI variables extracted from Landsat TM/ETM+.

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